A framework that partitions linear systems to maximize observability Gramian metrics, then places sensors under partition-matroid constraints via a continuous greedy algorithm.
Performance guarantees for greedy maximization of non-submodular controllability metrics,
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Partitioning and Observability in Linear Systems via Submodular Optimization
A framework that partitions linear systems to maximize observability Gramian metrics, then places sensors under partition-matroid constraints via a continuous greedy algorithm.